• Paper / Report

Can Data Science Help Develop Clean and Renewable Energy?

  • Source : NREL
  • 1 January 2022
This NREL insight report discusses how data science is driving innovation in clean and renewable energy. It describes platforms like the Open Energy Data Initiative, which aggregates terabytes of energy metrics into accessible ‘data lakes’ to support research, forecasting, and policy planning. NREL’s Insight Center applies advanced computing—including generative ML models—to simulate future grid scenarios, improve material discovery, and optimize energy storage. The piece emphasizes cross-sector collaboration, open data standards, and high-performance computing. It argues that integrating data analytics is critical for accelerating clean energy deployment, resilience, and net-zero strategies worldwide.
  • Case Study

Environmental and Social Framework

  • Source : Asian Infrastructure Investment Bank
  • 1 January 2019
This document outlines the Asian Infrastructure Investment Bank’s (AIIB) Environmental and Social Framework (ESF), which serves as a guiding policy for all its investment operations. The framework sets out the Bank’s commitments and requirements for identifying, assessing, and managing environmental and social risks and impacts. It emphasizes due diligence, stakeholder engagement, and robust management systems to ensure sustainable outcomes. The ESF aims to integrate environmental protection and social considerations into infrastructure projects, promoting responsible development and contributing to positive and lasting benefits for affected communities and the environment.
  • Media Article

Data Science and Analytics for Sustainable Development

  • Source : Analytics India Magazine
  • 1 June 2022
This article discusses the role of data science and analytics in achieving Sustainable Development Goals (SDGs) by enabling better resource planning, targeted intervention, and impact tracking. It highlights how data-driven approaches improve decision-making across sectors such as health, education, agriculture, and energy. The piece outlines the importance of interdisciplinary collaboration, technological adoption, and institutional capacity-building to scale outcomes. By examining real-world applications, it stresses the need for inclusive, context-sensitive, and evidence-based solutions to address complex developmental challenges.
  • Media Article

Enhancing Commitment Towards Sustainable Financing, India Exim Bank Sets Up Its Esg Framework

  • Source : Exim Bank India
  • 23 July 2025
This press release from India Exim Bank announces the establishment of its Environmental, Social, and Governance (ESG) Framework, demonstrating an enhanced commitment towards sustainable financing. The framework aims to integrate ESG considerations into the bank’s operations and financing activities, promoting responsible and impactful investments. It highlights the bank’s efforts to align with global best practices in sustainable finance and to contribute to positive environmental and social outcomes. This initiative reflects a strategic move to embed sustainability deeply within its financial practices and enhance its overall impact.
  • Blog

Can Computer and Data Science Help Accelerate Sustainable Agriculture?

  • Source : Syngenta Group
  • 1 June 2023
This Syngenta Group blog explores the transformative potential of computer science and data analytics in sustainable agriculture. It reports on advanced tools—soil sensors, satellite imagery, and AI-powered models—that enable precision guidance on crop selection, irrigation, and pest control. The article highlights Syngenta’s ‘soil intelligence’ initiative in U.S. and global pilot regions, showing improvements in yield, soil health, and resource efficiency. It addresses ecosystem resilience, climate adaptation, and farmer empowerment. The piece stresses that integrating technology with agronomic expertise can deliver regenerative farming practices, scalable impact, and food-security benefits globally.
  • Paper / Report

Development Finance Institutions Come of Age

  • Source : Center for Strategic and International Studies (CSIS)
  • 1 January 2016
This report argues that Development Finance Institutions (DFIs) have reached maturity, emphasizing their critical role in global development finance. It examines their evolving policy frameworks, governance structures, and increasing engagement with blended finance mechanisms. The authors highlight how DFIs leverage public funds to mobilise private capital, contributing significantly to achieving development goals. The report provides insights into their enhanced capacity and influence in shaping international development cooperation.
  • Academic / Journal Article

Data Science and Analytics in Agricultural Development

  • Source : ResearchGate
  • 1 January 2021
This article examines the applications of data science and analytics in agriculture, focusing on how emerging technologies help improve crop yield, soil health, and farming efficiency. It explores tools such as satellite data, sensors, machine learning algorithms, and real-time decision systems to support precision farming. The paper also underscores the importance of farmer-centric data models and institutional collaborations to scale innovations sustainably. The authors suggest data-driven agriculture can significantly transform rural livelihoods, productivity, and resilience against climate change.
  • Blog

Can Big Data Predict Marriage Success Rates?

  • Source : Larry Alton
  • 1 May 2018
This Datafloq article explores whether big data and predictive analytics can forecast marriage success. It discusses the collection of large longitudinal data sets, including social media patterns, personality assessments, and demographic factors. The article explains how machine-learning models, such as logistic regression and neural networks, can estimate probabilities of long-term marital stability. It also touches on limitations: human relationships’ complexity, cultural variation, and ethical concerns like privacy and algorithmic bias. While algorithms can detect patterns, the article notes that marriage outcomes remain uncertain, and data tools should supplement, not replace, personal judgment.
  • Framework / Toolkit / App

Creating a Truly “social” Stock Exchange -framework Study of Seven Global Exchanges and India’s Proposed Social Stock Exchange

  • Source : International Centre for Non-for-profit law and Samhita
  • 1 January 2021
This framework study analyses the design and implementation mechanisms of existing global social stock exchanges and provides recommendations for India’s proposed Social Stock Exchange (SSE). It explores how an SSE can serve as a viable platform for social enterprises to raise capital, focusing on stakeholder engagement and effective governance. The report aims to establish a robust framework that supports the growth of the social sector by fostering transparency, accountability, and efficient resource allocation through a dedicated stock exchange.
  • Blog

Data Science and Clean Energy

  • Source : Discover Data Science
  • 23 July 2025
This blog outlines the intersection of data science and the clean energy sector, showing how advanced analytics, machine learning, and real-time monitoring support renewable energy transition. It explores how data is used to manage grid reliability, predict energy demand, optimise energy storage, and detect faults in infrastructure. The post also illustrates case studies where AI-based solutions have improved efficiency and sustainability. It advocates for data-driven strategies to tackle global energy challenges and foster climate action.
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